Evidence map›Paper›PMID 42746414›Full record

ArticleFrontiers in microbiology2026

Association of feeding methods in early life with gut microbiota in neonates.

Huimin Lai, Xiongfeng Pan, Shiting Xiang, Yunlong Peng, Kunyan Zhao, Sha Wu, Xiaoming Peng, Yiying Kuang, Cai Gao, Jun Qiu and 1 more

Abstract read
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Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Huimin Lai *Department of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Xiongfeng Pan *Pediatrics Research Institute of Hunan Province, Hunan Children's Hospital, The Affiliated Children's Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China.
Shiting XiangPediatrics Research Institute of Hunan Province, Hunan Children's Hospital, The Affiliated Children's Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China.
Yunlong PengDepartment of Epidemiology and Health Statistics, Medical College of Soochow University, Suzhou, China.
Kunyan ZhaoThe School of Public Health, University of South China, Hengyang, China.
Sha WuDepartment of Pediatrics, Hengyang Medical School, University of South China, Hengyang, China.
Xiaoming PengDepartment of Neonatology, Hunan Children's Hospital, Changsha, Hunan, China.
Yiying KuangDepartment of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Cai GaoDepartment of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Jun QiuDepartment of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
Songxu PengDepartment of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The research on the gut microbiota of neonates and preterm neonates by conventional feeding methods is still limited. Objective: This study aimed to systematically characterize gut microbiota variations across three feeding methods in neonates, with a specific focus on preterm neonates. Methods: This study included 265 neonates from the Hunan Children's Hospital cohort, categorized by feeding methods into breast-fed (BF, Results: Unadjusted analyses showed that compared with the FF and MF groups, the BF group exhibited significantly higher relative abundances of Conclusion: Our study demonstrates an association between feeding methods and gut microbiota composition in neonates. The BF neonates exhibited increased relative abundance of

Indexed as

early lifefeeding methodsgut microbiotaneonatespreterm neonates

Identifiers

PMID42746414
PMCPMC13575991

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.